A new born academic journal promoting reproducibility
Supported by the French Statistical Society
Invalid Date
Statistical learning for life science
Université Paris-Saclay, AgroParisTech, INRAE
Statistique,
CNRS, Institut de Mathématiques de Toulouse
Machine learning and causal inference for genomics
CNRS, Université Grenoble Alpes
Machine Learning for therapeutic research
Mines ParisTech, Inserm, Institut Curie
Optimisation
CR INRIA, Lyon

IR
IR CNRS, IMAG, Montpellier
Rstudio, VScode)quarto, Jupyter)git(hub), Actions)Computo’s Board Positioning
Need to renew the mode of publication of scientific knowledge and know-how
Statistics and Computing, Computational Statistics and Data Analysis, Journal of Computational and Graphical Statistics, JMLR, JRSS-B, JASA, …
Limitations
Fixed format (non-dynamic typically, PDF) limiting reproducibility
R journal, Journal of Statistical Software, Journal of Open Source Software, JMLR Machine Learning Open Source Software, ROpen-Sci…
Limitations
Congestion, language-centric, software documentation, not structured around a scientific question
Aims and Scope
Promote contributions in statistics and machine learning that provide insight into which models/methods are the most appropriate to a specific question.
Open and reproducible
Assessing reproducibility
At the submission stage!
https://quarto.org (embed Jupyter and RMarkdown)
→ Eventually published (as Issues)
Copy our template repository to use it as a starter
Write your notebook as usual (Same spirit as Jupyter/Rmarkdown).
file environment.yml
A git push will trigger build process on github
name: build
on: push
jobs:
computorticle:
runs-on: ubuntu-latest
steps: # [...]
- name: Installing dependencies with Miniconda
uses: conda-incubator/setup-miniconda@v2
environment-file: environment.yml
# [...]
- name: Rendering with Quarto
run: quarto render content.qmd
# [...]
- name: Deploying article on github pages
# [...]If the build process is successful,
chrome-printbinder repos can be associated→ Submit the PDF on Scholastica page
Once the reviewing process has ended (successfully!)
https://github.com/computorg/published-202204-deeplearning-occupancy-lynx
Volunteer by filling this form: https://forms.gle/P9iYJANuNM4WTVHDA
Get involved in a stat/ML PCI to feed Computo